Gastric cancer (GC) is a leading cause of cancer-related deaths globally, necessitating the identification of novel therapeutic targets. This study investigates the roles of MATN3 and ASPN in GC progression via the epithelial-mesenchymal transition (EMT) pathway. Analysis of the Cancer Genome Atlas-Stomach Adenocarcinoma (TCGA-STAD) dataset revealed that both MATN3 and ASPN are significantly upregulated in GC tissues and correlate with poor patient survival. Protein-protein interaction and co-expression analyses confirmed a direct interaction between MATN3 and ASPN, suggesting their synergistic role in EMT activation. Functional assays demonstrated that MATN3 promotes GC cell proliferation, migration, and invasion, while its knockdown inhibits these malignant behaviors and induces apoptosis. ASPN overexpression further amplified these oncogenic effects. In vivo, studies in a mouse model corroborated that co-overexpression of MATN3 and ASPN enhances tumor growth and metastasis. These findings highlight the MATN3-ASPN axis as a potential therapeutic target in GC, offering new insights into the molecular mechanisms driving GC progression.

To observe the relationship between the expression of human matricellular protein 3 (MATN3) and the pathological features, drug resistance, and prognosis of gastric cancer based on immunohistochemical method.

A total of 100 gastric cancer patients treated at the First Affiliated Hospital of Bengbu Medical College from January 2022 to December 2022 were included. MATN3 expression in gastric cancer tissues and paracancerous tissues was assessed by immunohistochemistry. The expression of MATN3 was compared across pathological features. Patients were divided into sensitive and resistant groups based on chemotherapy resistance, and MATN3 expression was compared between these groups. The relationship between MATN3 and recurrence-free survival (RFS) and overall survival (OS) of gastric cancer patients was analyzed using Kaplan-Meier survival curves. Univariate and multifactorial Cox regression analyses were used to analyze the factors affecting the prognosis of gastric cancer patients. Human gastric cancer cells MGC803 were transfected with MATN3. The cells were divided into a high expression group (LV-MATN3 group) and its control group (LV-NC group) and a low expression group (sh-MATN3 group) and its control group (sh-NC group). Cell proliferation was assessed using the CCK8 assay, cell migration and invasion were assessed using the Transwell assay, and MATN3 mRNA expression levels were measured using RT-qPCR. A nude mouse xenograft model was constructed by hypodermic injection of MGC-803 cells transfected with MATN3, and MATN3 mRNA expression levels in tumor tissues were measured using RT-qPCR.

Immunohistochemical results showed a significantly higher rate of high MATN3 expression in gastric cancer tissues (64.00%, 64/100) compared to adjacent non-cancerous tissues (31.00%, 31/100) (P<0.05). High MATN3 expression was associated with age ≥60 years old, tumor location in the gastric body, tumor size ≥5 cm, lymph node metastasis (N1-N3), histological differentiation (moderate to high), tumor invasion depth (T3-T4), TNM stage (Ⅲ-Ⅳ), distant organ metastasis, recurrence, and mortality (P<0.05). Among patients with chemotherapy resistance, the high MATN3 expression rate was 79.49% (31/39) in the resistant group compared to 54.10% (33/61) in the sensitive group (P<0.05). Follow-up duration ranged from 11 to 22 months, with a 97.00% follow-up rate and 3 cases lost to follow-up. Kaplan-Meier survival curve analysis showed that patients with high MATN3 expression had significantly lower RFS and OS compared to those with low MATN3 expression (RFS: log-rank=17.291, P<0.001; OS: log-rank=21.719, P<0.001). Multivariate Cox analysis identified high MATN3 expression (hazard ratio [HR]=2.291, 95% confidence interval [CI]: 1.268-5.392), tumor location in the gastric body (HR=2.057, 95% CI: 1.441-5.666), lymph node metastasis (N1-N3) (HR=2.011, 95% CI: 1.010-2.274), tumor invasion depth (T3-T4) (H=2.977, 95% CI: 1.032-7.853), TNM stage Ⅲ-Ⅳ (HR=2.008, 95% CI: 1.049-3.902), and distant organ metastasis (HR=2.505, 95% CI: 1.529-5.000) as independent risk factors affecting RFS and OS (P<0.05). Cell and animal experiments demonstrated that compared to the LV-NC group, the LV-MATN3 group exhibited significantly higher cell proliferation, migration, and invasion (P<0.05), as well as increased tumor volume and MATN3 mRNA expression in tumor tissues (P<0.05). Conversely, the sh-MATN3 group showed significantly reduced cell proliferation, migration, and invasion, along with decreased tumor volume and MATN3 mRNA levels compared to the sh-NC group (P<0.05).

MATN3 is highly expressed in gastric cancer tissues and is associated with various pathological features, drug resistance and poor prognosis. MATN3 holds potential as a diagnostic marker for poor prognosis and may play a role in the malignant behaviors of gastric cancer cells, including proliferation, migration, and invasion.

MicroRNAs (miRNAs) regulate gene expression and play a critical role in cancer physiology. However, there is still a limited understanding of the function and regulatory mechanism of miRNAs in gastric cancer (GC).

To investigate the role and molecular mechanism of miRNA-145-5p (miR145-5p) in the progression of GC.

Real-time polymerase chain reaction (RT-PCR) was used to detect miRNA expression in human GC tissues and cells. The ability of cancer cells to migrate and invade was assessed using wound-healing and transwell assays, respectively. Cell proliferation was measured using cell counting kit-8 and colony formation assays, and apoptosis was evaluated using flow cytometry. Expression of the epithelial-mesenchymal transition (EMT)-associated protein was determined by Western blot. Targets of miR-145-5p were predicated using bioinformatics analysis and verified using a dual-luciferase reporter system. Serpin family E member 1 (SERPINE1) expression in GC tissues and cells was evaluated using RT-PCR and immunohistochemical staining. The correlation between SERPINE1 expression and overall patient survival was determined using Kaplan-Meier plot analysis. The association between SERPINE1 and GC progression was also tested. A rescue experiment of SERPINE1 overexpression was conducted to verify the relationship between this protein and miR-145-5p. The mechanism by which miR-145-5p influences GC progression was further explored by assessing tumor formation in nude mice.

GC tissues and cells had reduced miR-145-5p expression and SERPINE1 was identified as a direct target of this miRNA. Overexpression of miR-145-5p was associated with decreased GC cell proliferation, invasion, migration, and EMT, and these effects were reversed by forcing SERPINE1 expression. Kaplan-Meier plot analysis revealed that patients with higher SERPINE1 expression had a shorter survival rate than those with lower SERPINE1 expression. Nude mouse tumorigenesis experiments confirmed that miR-145-5p targets SERPINE1 to regulate extracellular signal-regulated kinase-1/2 (ERK1/2).

This study found that miR-145-5p inhibits tumor progression and is expressed in lower amounts in patients with GC. MiR-145-5p was found to affect GC cell proliferation, migration, and invasion by negatively regulating SERPINE1 levels and controlling the ERK1/2 pathway.

EDIL3, which contains epidermal growth factor-like repeats and discoidin I-like domains, is a secretory protein that plays an important role in embryonic development and various illnesses. However, the biological function of EDIL3 in gastric cancer (GC) is still unclear. The objective of this research was to explore the role and potential mechanism of EDIL3 in GC.

In this study, we used the GEPIA, HPA, MethSurv, SMART, STRING, GeneMANIA, LinkedOmics TIMER, TIMER2.0, TISIDB, and RNAactDrug databases to comprehensively analyze the roles of EDIL3 in GC. To validate the in silico findings, EDIL3 expression was measured in our collected GC tissues. Meanwhile, several in vitro experiments were performed to test the function of EDIL3 in GC.

We found that EDIL3 was highly expressed in GC and associated with adverse clinical features. In vitro assays revealed that EDIL3 promoted the proliferation, migration, and invasion of GC cells. The functions of EDIL3 and co-expression genes were significantly associated with extracellular structure organization and matrix receptor interaction. EDIL3 expression was positively associated with numerous tumor-infiltrating immune cells and their biomarkers.

This study determined that EDIL3 may function as an oncogene and is associated with immune infiltration in GC. EDIL3 could be used as a potential therapeutic target for GC.

Programmed cell death protein 1 (PD-1) is a well-known driver of immunosuppression and lymphocyte-associated disease progression. Increasing evidence suggests a tumor-intrinsic role for PD-1 in promoting chemoresistance via stem-like features. Moving forward, a recent study implies a novel antitumor mechanism for PD-1 inhibition. See related article by Rotolo et al., p. 621.

At present, there is increasing evidence that both competitive endogenous RNAs (ceRNAs) and immune status in the tumor microenvironment (TME) can affect the progression of gastric cancer (GC), and are closely related to the prognosis of patients. However, few studies have linked the two to jointly determine the prognosis of patients with GC. This study aimed to develop a combined prognostic model based on ceRNAs and immune biomarkers.

First, the gene expression profiles and clinical information were downloaded from TCGA and GEO databases. Then two ceRNA networks were constructed on the basis of circRNA. Afterwards, the key genes were screened by univariate Cox regression analysis and Lasso regression analysis, and the ceRNA-related prognostic model was constructed by multivariate Cox regression analysis. Next, CIBERSORT and ESTIMATE algorithms were utilized to obtain the immune cell infiltration abundance and stromal/immune score in TME. Furthermore, the correlation between ceRNAs and immunity was found out through co-expression analysis, and another immune-related prognosis model was established. Finally, combining these two models, a comprehensive prognostic model was built and visualized with a nomogram.

The (circRNA, lncRNA)-miRNA-mRNA regulatory network of GC was constructed. The predictive power of ceRNA-related and immune-related prognosis models was moderate. Co-expression analysis showed that the ceRNA network was correlated with immunity. The integrated model of combined ceRNAs and immunity in the TCGA training set, the AUC values of 1, 3, and 5-year survival rates were 0.78, 0.76, and 0.78, respectively; in the independent external validation set GSE62254, they were 0.81, 0.79, and 0.78 respectively; in GSE15459, they were 0.84, 0.88 and 0.89 respectively. Besides, the prognostic score of the comprehensive model can predict chemotherapeutic drug resistance. Moreover, we found that plasma variant translocation 1 (PVT1) and infiltrating immune cells (mast cells) are worthy of further investigation as independent prognostic factors.

Two ceRNA regulatory networks were constructed based on circRNA. At the same time, a comprehensive prognosis model was established, which has a high clinical significance for prognosis prediction and chemotherapy drug selection of GC patients.

We aimed to screen the key pathogenic transcription factors of gastric cancer and analyzed the correlation between the expression of transcription factors and chemotherapy drugs in gastric cancer.

Gastric cancer RNA sequencing data sets, single nucleotide polymorphism data sets, and corresponding clinical data sets were downloaded from The Cancer Genome Atlas, which is public data. The expression of transcription factors in gastric cancer and normal tissues was analyzed with R software. Pathway enrichment analysis of differentially expressed transcription factors was performed using the Kyoto Encyclopedia of Genes and Genomes database. Univariate Cox analysis was used to explore the correlation between the differential expression of transcription factors and prognosis. The interaction network among differentially expressed transcription factors was constructed using String database. Spearman test was used to explore the correlation between transcription factor mutation and gene expression. The Genomics of Drug Sensitivity in Cancer database was used to examine the relationship between the expression of transcription factors and chemotherapeutic drug sensitivity.

A total of 17 differentially expressed transcription factors were screened. The results indicated that CENPA, E2F1, EMX1, HOXA9, FOXM1, and MYBL2 were prognostic risk factors for gastric cancer patients (P<0.05), while RXRG and SOX4 were prognostic protective factors for gastric cancer patients (P<0.05). FDXM1 interacted with E2F7, MYBL2, E2F1, NCAPG, and SOX9. FOXM1 gene mutation was positively correlated with the expression level (P<0.05). Based on the median value of FOXM1, the patients were divided into high expression group and low expression group of FOXM1. There was no significant difference in IC50 of 5-fluorouracil between the FOXM1 high expression group and the FOXM1 low expression group (P>0.05). The IC50 of paclitaxel in the FOXM1 high expression group was higher than that in the FOXM1 low expression group (P<0.001). The expression of IC50 of cisplatin in the FOXM1 high expression group was higher than that in the FOXM1 low expression group (P<0.05).

FOXM1 was a highly expressed transcription factor in gastric cancer. High FOXM1 expression was associated with the resistance of gastric cancer patients to paclitaxel and cisplatin. Therefore, FOXM1 is a potential therapeutic target for gastric cancer.

To identify molecular clusters associated with ferroptosis and to develop a ferroptosis-related signature for providing novel potential targets for the recurrence-free survival and treatment of breast cancer.

Ferroptosis-related gene (FRG) signature was constructed by univariate and multivariate Cox regression and least absolute shrinkage and selection operator (LASSO). Receiver operating characteristic curves, Kaplan-Meier survival analysis, principal component analysis, and univariate and multivariate Cox regression analyses in the training and test cohorts were used to evaluate the application of this signature. Quantitative reverse transcriptase-PCR (qRT-PCR) was employed to detect the expression of FRGs in the model. Furthermore, the correlations between the signature and immune microenvironment, somatic mutation, and chemotherapeutic drugs sensitivity were explored.

Internal and external validations affirmed that relapse-free survival differed significantly between the high-risk and low-risk groups. Univariate and multivariate Cox regression analyses indicated that the riskScore was an independent prognostic factor for BRCA. The areas under the curve (AUCs) for predicting 1-, 2-, and 3-year survival in the training and test cohorts were satisfactory. Significant differences were also found in the immune microenvironment and IC50 of chemotherapeutic drugs between different risk groups. Furthermore, we divided patients into three clusters based on 18 FRGs to ameliorate the situation of immunotherapy failure in BRCA.

The FRG signature functions as a robust prognostic predictor of the immune microenvironment and therapeutic response, with great potential to guide individualized treatment strategies in the future.